先搬個 basketballreference.com 的資料來稍微頂一下。其實這個網站的資料 雖然還頗豐富的但是不見得齊全完備，譬如說球員名單可能會漏掉某些只來打 過幾場零工的球員，或者如果在球季中途發生交易 basketballreference.com 也不會把球員在不同球隊的成績分開計算，這都可能造成數據和印象的混淆。 這是在參考該站資料時需要特別注意的事項之一。 http://www.basketballreference.com/teams/teamyear.htm?tm=CHA&lg=n&yr=1988 Charlotte Hornets (1988 - 2001) 1989-90 1988-89 1987-88 20 - 62 .244 (pythagorean: 17 - 65 .215) Finished in 6th place, 32 games out of first. Attendance: 950,064 Total; 23,172 Avg Coaching: Dick Hartier 20 - 62 Players Name G Min Pts PPG FGM FGA FGP FTM FTA FTP 3PM 3PA 3PP Kelly Tripucka 71 2302 1606 22.6 568 1215 .467 440 508 .866 30 84 .357 Rex Chapman 75 2219 1267 16.9 526 1271 .414 155 195 .795 60 191 .314 Robert Reid 82 2152 1207 14.7 519 1214 .428 152 196 .776 17 52 .327 Dell Curry 48 813 571 11.9 256 521 .491 40 46 .870 19 55 .345 Kurt Rambis 75 2233 832 11.1 325 627 .518 182 248 .734 0 3 .000 Michael Holton 67 1696 553 8.3 215 504 .427 120 143 .839 3 14 .214 Brian Rowsom 34 517 226 6.6 80 162 .494 65 81 .802 1 1 1.00 Earl Cureton 82 2047 532 6.5 233 465 .501 66 123 .537 0 1 .000 Dave Hoppen 77 1419 500 6.5 199 353 .564 101 139 .727 1 2 .500 Tim Kempton 79 1341 484 6.1 171 335 .510 142 207 .686 0 1 .000 Muggsy Bogues 79 1755 423 5.4 178 418 .426 66 88 .750 1 13 .077 Rickey Green 63 871 291 4.6 129 264 .489 30 33 .909 3 11 .273 Ralph Lewis 42 336 136 3.2 58 121 .479 19 39 .487 1 3 .333 Tom Tolbert 14 117 40 2.9 17 37 .459 6 12 .500 0 3 .000 Sidney Lowe 14 250 23 1.6 8 25 .320 7 11 .636 0 2 .000 Players Name REB RPG AST APG STL BLK TO Kelly Tripucka 267 3.8 224 3.2 88 16 236 Rex Chapman 187 2.5 176 2.3 70 25 113 Robert Reid 302 3.7 153 1.9 53 20 106 Dell Curry 104 2.2 50 1.0 42 4 44 Kurt Rambis 703 9.4 159 2.1 100 57 148 Michael Holton 105 1.6 424 6.3 66 12 119 Brian Rowsom 137 4.0 24 0.7 10 12 18 Earl Cureton 488 6.0 130 1.6 50 61 114 Dave Hoppen 384 5.0 57 0.7 25 21 77 Tim Kempton 304 3.8 102 1.3 41 14 121 Muggsy Bogues 165 2.1 620 7.8 111 7 124 Rickey Green 69 1.1 187 3.0 40 2 61 Ralph Lewis 61 1.5 15 0.4 11 3 24 Tom Tolbert 21 1.5 7 0.5 2 4 2 Sidney Lowe 34 2.4 93 6.6 14 0 9 Players (Extended Stats) Name G Min EFF AV VI PPFGA PPR RbRate Kelly Tripucka 71 2302 17.61 10.0 6.5 1.116 -3.76 6.4 Rex Chapman 75 2219 11.03 7.3 4.6 0.934 0.20 4.7 Robert Reid 82 2152 10.85 7.7 4.7 0.928 -0.19 7.8 Dell Curry 48 813 9.50 4.7 3.0 1.055 -1.31 7.1 Kurt Rambis 75 2233 17.80 10.5 6.0 1.130 -1.88 17.5 Michael Holton 67 1696 10.88 6.7 4.4 0.975 9.65 3.4 Brian Rowsom 34 517 8.62 3.3 2.6 1.143 -0.39 14.7 Earl Cureton 82 2047 10.46 7.5 4.0 1.025 -1.34 13.2 Dave Hoppen 77 1419 9.32 6.6 2.8 1.207 -2.75 15.0 Tim Kempton 79 1341 7.53 5.7 3.1 1.136 -3.95 12.6 Muggsy Bogues 79 1755 11.90 8.0 4.5 0.926 16.49 5.2 Rickey Green 63 871 6.19 4.1 2.5 1.045 7.31 4.4 Ralph Lewis 42 336 2.83 1.7 1.2 0.984 -4.17 10.1 Tom Tolbert 14 117 3.29 0.8 1.3 0.946 2.28 10.0 Sidney Lowe 14 250 9.57 1.9 2.9 0.771 21.20 7.6 -- About the Statistics The following statistics and abbreviations are used on the player and team pages: G - Games Played Min - Minutes Played MPG - Minutes per Game Pts - Total Points PPG - Points per Game FGM - Field Goals Made FGA - Field Goals Attempted FGP - Field Goal Percentage FTM - Free Throws Made FTA - Free Throws Attempted FTP - Free Throw Percentage 3PM - Three Pointers Made* 3PA - Three Pointers Attempted* 3PP - Three Point Percentage* REB - Total Rebounds RPG - Rebounds per Game AST - Total Assists APG - Assists per Game STL - Steals** BLK - Blocks** TO - Turnovers** EFF - Efficiency*** AV - Approximate Value PF - Total Personal Fouls VI - Versatility Index (ppg*rpg*apg)^.333 PPFGA - Points per FGA Points/(FGA+(FTA*.44)) PPR - Assist/Turnover Rating (((ASTS*.66)-TO)*100)/Minutes RbRate - Rebound Rate (Reb*Team Minutes)/(Player Minutes*(Team Reb + Opp Reb)) * The NBA did not have three point shots until 1979 ** Steals, Blocks and Turnovers were not recorded in the NBA until 1973 *** Efficiency is a new stat the NBA developed in 2002. It is calculated using the following formula: ((pts + reb + stls + asts + blk) - ((fga - fgm) + (fta - ftm) + to))/g Since Efficiency is calculated on a per game basis, it is good at seeing how well a particular player has performed, regardless of the number of games that the player has played during that season. For an estimate of a players value to his team for the entire season, Approximate Values can be used. Approximate Value (AV) Approximate Value (AV) was developed by Dean Oliver. You can read more about this formula and more at this website: http://www.powerbasketball.com/theywin2.html Here is a quick synopsis of AV values Credits= PTS+REB+AST+STL+BLK-FG MISSED-FT MISSED-TO AV= Credits^(3/4)/21 The Value Approximation Method was a major task to come up with, taking me about two months to finally arrive at satisfactory results. The plan for the method was to end up with a scale of integers between 0 and about 20 rating players, with 10 representing an 'average' player. It was to be based upon several standards a player was to meet in order to gain points of approximate value. The whole thing was modeled on Bill James' Value Approximation method for baseball. As James did, I assigned verbal descriptions to ranges of scores in order to see if the method produced results that matched general descriptions of players. Those descriptions are as follows: A score of about twenty indicates an exceptional MVP season. A score of seventeen or eighteen indicates a strong MVP candidate or an ordinary MVP season. A score of sixteen indicates an MVP candidate. A score of fifteen indicates a definite All-Star who is a marginal MVP candidate. A score of fourteen indicates a probable All-Star. A score of thirteen indicates a marginal All-Star. A score of twelve indicates a very fine season; an All-Star candidate. A score of eleven indicates an above average regular; an excellent player playing about 1800 minutes. A score of ten indicates an average regular or a very good sixth man. A score of nine indicates an average regular or a good sixth man. A score of eight indicates a fair regular or an average sixth man. A score of six or seven indicates an average bench player or a good player playing under 1500 minutes. A score of four or five indicates a player who plays about 1000 minutes and who doesn't deserve many more. Scores of three or less usually indicate players who are unimpressive in limited playing time. Before the '73-74 season, steals (STL), blocks (BLK), and turnovers weren't kept as official stats. In the credits formula for player seasons before '73-74, those stats are just omitted as they tend to cancel each other out to some degree when included anyway. Versatility Index The Versatility Index is a metric that measures a player's ability to produce in more than one statistic. In this case we are using points, assists, and rebounds. The average player will score around a five on the index, while top players score above 10. The index was designed by John Hollinger and more information can be found in this article. PPFGA Points per FGA is sometimes a better way of looking at shot efficiency than FG PCT because it takes into account three point shots and points gained due to free throw shots. It was used by John Hollinger in his book Pro Basketball Prospectus and I encourage anyone interested in this statistic to check out his book. PPR PPR is an assist to turnover ratio which is much better than the simple assists divided by turnovers ratio which is often used by the media. Turnovers were not kept as an official stat by the NBA prior to the 1977-78 season so PPR is only displayed or accurate after this that season. It was used by John Hollinger in his book Pro Basketball Prospectus and I encourage anyone interested in this statistic to check out his book. Rebound Rate Rebound Rate is an excellent stat for measuring the rebounding ability of a player. It simply measures the percentage of missed shots a player rebounded while he was on the floor. Rebounds allowed by opponents was not kept as an NBA stat prior to the 1970-71 season so rebound rate is only available after that year. It was used by John Hollinger in his book Pro Basketball Prospectus and I encourage anyone interested in this statistic to check out his book. -- ※ 編輯: BIASONICA 來自: 218.166.82.237 (12/30 05:14)